Donato Impedovo

3.9k total citations · 1 hit paper
128 papers, 2.4k citations indexed

About

Donato Impedovo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Donato Impedovo has authored 128 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Computer Vision and Pattern Recognition, 42 papers in Artificial Intelligence and 19 papers in Signal Processing. Recurrent topics in Donato Impedovo's work include Handwritten Text Recognition Techniques (43 papers), Vehicle License Plate Recognition (15 papers) and Image Retrieval and Classification Techniques (15 papers). Donato Impedovo is often cited by papers focused on Handwritten Text Recognition Techniques (43 papers), Vehicle License Plate Recognition (15 papers) and Image Retrieval and Classification Techniques (15 papers). Donato Impedovo collaborates with scholars based in Italy, Spain and Canada. Donato Impedovo's co-authors include Giuseppe Pirlo, Vincenzo Dentamaro, Fabrizio Balducci, Moises Díaz, Gennaro Vessio, Miguel A. Ferrer, Réjean Plamondon, Muhammad Imran Malik, Tiziana D’Orazio and Grazia Cicirelli and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Donato Impedovo

120 papers receiving 2.2k citations

Hit Papers

Automatic Signature Verification: The State of the Art 2008 2026 2014 2020 2008 100 200 300 400

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Donato Impedovo Italy 25 1.3k 587 374 305 269 128 2.4k
Giuseppe Pirlo Italy 29 1.8k 1.3× 869 1.5× 498 1.3× 464 1.5× 314 1.2× 177 3.0k
Hugo Jair Escalante Mexico 29 1.3k 1.0× 1.2k 2.0× 104 0.3× 291 1.0× 465 1.7× 158 2.9k
Rubén San-Segundo Spain 23 540 0.4× 650 1.1× 142 0.4× 62 0.2× 281 1.0× 134 1.9k
Luis Enrique Sucar Mexico 27 1.1k 0.9× 1.0k 1.7× 117 0.3× 181 0.6× 168 0.6× 213 2.9k
Nooritawati Md Tahir Malaysia 18 392 0.3× 271 0.5× 86 0.2× 94 0.3× 160 0.6× 235 1.5k
Guan Huang China 22 1.1k 0.8× 464 0.8× 169 0.5× 177 0.6× 105 0.4× 77 2.3k
Mounîm A. El‐Yacoubi France 20 544 0.4× 336 0.6× 125 0.3× 77 0.3× 396 1.5× 88 1.3k
Feng Lin China 26 498 0.4× 408 0.7× 57 0.2× 328 1.1× 528 2.0× 197 2.6k
Mehmet Bayğın Türkiye 26 374 0.3× 399 0.7× 73 0.2× 130 0.4× 149 0.6× 111 2.2k
Syed Muhammad Anwar Pakistan 31 941 0.7× 657 1.1× 142 0.4× 168 0.6× 175 0.7× 119 3.5k

Countries citing papers authored by Donato Impedovo

Since Specialization
Citations

This map shows the geographic impact of Donato Impedovo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Donato Impedovo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donato Impedovo more than expected).

Fields of papers citing papers by Donato Impedovo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donato Impedovo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Donato Impedovo. The network helps show where Donato Impedovo may publish in the future.

Co-authorship network of co-authors of Donato Impedovo

This figure shows the co-authorship network connecting the top 25 collaborators of Donato Impedovo. A scholar is included among the top collaborators of Donato Impedovo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donato Impedovo. Donato Impedovo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dentamaro, Vincenzo, et al.. (2025). EVolutionary independent DEtermiNistiC explanation. Engineering Applications of Artificial Intelligence. 156. 111008–111008.
2.
Dentamaro, Vincenzo, et al.. (2024). FOBICS: Assessing project security level through a metrics framework that evaluates DevSecOps performance. Information and Software Technology. 178. 107605–107605. 4 indexed citations
3.
Santoro, Giuseppe, et al.. (2024). Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights. Information. 15(11). 741–741. 3 indexed citations
4.
Dentamaro, Vincenzo, et al.. (2024). Human activity recognition with smartphone-integrated sensors: A survey. Expert Systems with Applications. 246. 123143–123143. 29 indexed citations
5.
Dentamaro, Vincenzo, et al.. (2024). An Interpretable Adaptive Multiscale Attention Deep Neural Network for Tabular Data. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6995–7009. 3 indexed citations
6.
Impedovo, Donato, et al.. (2023). Human Activity Recognition for the Identification of Bullying and Cyberbullying Using Smartphone Sensors. Electronics. 12(2). 261–261. 7 indexed citations
7.
Cheriet, Mohamed, et al.. (2023). Multi-speed transformer network for neurodegenerative disease assessment and activity recognition. Computer Methods and Programs in Biomedicine. 230. 107344–107344. 16 indexed citations
8.
Impedovo, Donato, et al.. (2023). A Medical Image Encryption Scheme for Secure Fingerprint-Based Authenticated Transmission. Applied Sciences. 13(10). 6099–6099. 16 indexed citations
9.
Dentamaro, Vincenzo, et al.. (2022). AUCO ResNet: an end-to-end network for Covid-19 pre-screening from cough and breath. Pattern Recognition. 127. 108656–108656. 34 indexed citations
10.
Chimienti, Michela, et al.. (2022). A biometric-based system for unsupervised anomaly behaviour detection at the pawn shop. RePEc: Research Papers in Economics. 9(4). 338–356.
11.
Dentamaro, Vincenzo, et al.. (2022). Comparing Deep Learning and Shallow Learning Techniques for API Calls Malware Prediction: A Study. Applied Sciences. 12(3). 1645–1645. 18 indexed citations
12.
Dentamaro, Vincenzo, et al.. (2022). Combining Unsupervised Approaches for Near Real-Time Network Traffic Anomaly Detection. Applied Sciences. 12(3). 1759–1759. 30 indexed citations
13.
Chimienti, Michela, et al.. (2022). MIRROR: Methodological Innovation to Remodel the Electric Loads to Reduce Economic OR Environmental Impact of User. Algorithms. 16(1). 1–1. 1 indexed citations
14.
Cicirelli, Grazia, Donato Impedovo, Vincenzo Dentamaro, et al.. (2021). Human Gait Analysis in Neurodegenerative Diseases: A Review. IEEE Journal of Biomedical and Health Informatics. 26(1). 229–242. 125 indexed citations
15.
Dentamaro, Vincenzo, Donato Impedovo, & Giuseppe Pirlo. (2020). Gait Analysis for Early Neurodegenerative Diseases Classification Through the Kinematic Theory of Rapid Human Movements. IEEE Access. 8. 193966–193980. 32 indexed citations
16.
Impedovo, Donato, Fabrizio Balducci, Vincenzo Dentamaro, & Giuseppe Pirlo. (2019). Vehicular Traffic Congestion Classification by Visual Features and Deep Learning Approaches: A Comparison. Sensors. 19(23). 5213–5213. 45 indexed citations
17.
Dentamaro, Vincenzo, Donato Impedovo, & Giuseppe Pirlo. (2018). LICIC: Less Important Components for Imbalanced Multiclass Classification. Information. 9(12). 317–317. 10 indexed citations
18.
Dentamaro, Vincenzo, Donato Impedovo, Giuseppe Pirlo, & Gennaro Vessio. (2018). A new ConvNet architecture for heartbeat classification. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 2 indexed citations
19.
Impedovo, Donato, et al.. (2014). Handwritten Processing for Pre Diagnosis of Alzheimer Disease. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 193–199. 2 indexed citations
20.
Impedovo, Donato, et al.. (2011). Ambienti Virtuali Integrati per Attività Collaborative Real-Time: il prototipo Co.S.M.O.S.. CINECA IRIS Institutional Research Information System (University of Bari Aldo Moro). 7(2). 59–68.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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